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German Cancer Research Center in the Helmholtz Association (DKFZ) | Heidelberg, Baden W rttemberg | Germany | 2 months ago
throughout the Helmholtz Association. Within HI, the Applied Computer Vision Lab (ACVL) at DKFZ develops state-of-the-art methods for image analysis and machine learning, supports researchers in
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competitive salary, aligned with German university pay scales (TV-L) and institutional regulations. Where to apply Website https://jobrxiv.org/job/ulm-university-27778-post-doc-reinforcement-learning-fo
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In this thesis you will work in the European Space Agency (ESA)-funded project Fast-EO (Fostering Advances in Foundation Models via Unsupervised and Self-Supervised Learning for Downstream Tasks in
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in the laboratory Document and evaluate experimental and simulation results Develop and validate machine learning and deep learning algorithms for photonic sensing applications What you contribute
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for a Professorship (W2) (5 years/tenure track) of Statistical and Machine Learning in the Life Sciences, combined with the lead of a research group Computational Statistics & Dynamical Systems for Life
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development opportunities In addition to exciting tasks and a collegial working environment, we offer you much more: https://go.fzj.de/benefits To apply, please submit a complete CV including a publication list
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Max Planck Institute for the History of Science, Berlin | Berlin, Berlin | Germany | about 2 months ago
of the Free University Berlin and other research institutions. The Digital Humanities team seeks to appoint a Student Assistant (m/f/d) with a focus on Machine Learning or Data Science, up to 19 hours per week
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numerical simulations and machine learning in order to better understand and characterize active matter systems. A possible direction is to use physics-informed machine learning techniques to connect
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Max Planck Institute for Astronomy, Heidelberg | Heidelberg, Baden W rttemberg | Germany | about 1 month ago
for 4 years Software Developer / Computer Scientist (m/f/d) specialised in AI & Machine Learning, Ref. 421 to support the further development and commissioning of the Real-Time Control (RTC) system
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and (2) develop learning rules that are both technology-feasible and well-suited for machine-learning workloads. The project will consist among others of the following tasks: Investigate and design